AIMC Topic: Electronic Health Records

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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation.

Journal of medical Internet research Sep 28, 2021
BACKGROUND: COVID-19 is caused by the SARS-CoV-2 virus and has strikingly heterogeneous clinical manifestations, with most individuals contracting mild disease but a substantial minority experiencing fulminant cardiopulmonary symptoms or death. The c...
Humans COVID-19 Algorithms SARS-CoV-2 Retrospective Studies Electronic Health Records Deep Learning Clinical Laboratory Information Systems
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An updated, computable MEDication-Indication resource for biomedical research.

Scientific reports Sep 23, 2021
The MEDication-Indication (MEDI) knowledgebase has been utilized in research with electronic health records (EHRs) since its publication in 2013. To account for new drugs and terminology updates, we rebuilt MEDI to overhaul the knowledgebase for mode...
Biomedical Research Natural Language Processing Drug Prescriptions Knowledge Bases Humans Electronic Health Records
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Principles for Real-World Implementation of Bedside Predictive Analytics Monitoring.

Applied clinical informatics Sep 22, 2021
A new development in the practice of medicine is Artificial Intelligence-based predictive analytics that forewarn clinicians of future deterioration of their patients. This proactive opportunity, though, is different from the reactive stance that cli...
Electronic Health Records Artificial Intelligence Humans Medicine Hospitals
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Subcategorizing EHR diagnosis codes to improve clinical application of machine learning models.

International journal of medical informatics Sep 21, 2021
BACKGROUND: Electronic health record (EHR) data is commonly used for secondary purposes such as research and clinical decision support. However, reuse of EHR data presents several challenges including but not limited to identifying all diagnoses asso...
Machine Learning Unified Medical Language System Comorbidity Humans Electronic Health Records Information Storage and Retrieval
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Federated learning for predicting clinical outcomes in patients with COVID-19.

Nature medicine Sep 15, 2021
Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus removing many barriers to data sharing. Here we used data from 20 institutes across the globe ...
COVID-19 Prognosis Electronic Health Records Humans Machine Learning SARS-CoV-2 Outcome Assessment, Health Care
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Learning the impact of acute and chronic diseases on forecasting neonatal encephalopathy.

Computer methods and programs in biomedicine Sep 13, 2021
OBJECTIVE: There is a wide range of risk factors predisposing to the onset of neonatal encephalopathy (NE), including maternal antepartum/intrapartum comorbidities or events. However, few studies have investigated the difference in the impact of acut...
Risk Factors Chronic Disease Brain Diseases Electronic Health Records Infant, Newborn Humans Machine Learning
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Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records.

PloS one Sep 13, 2021
BACKGROUND: Cardiac dysrhythmias (CD) affect millions of Americans in the United States (US), and are associated with considerable morbidity and mortality. New strategies to combat this growing problem are urgently needed.
Electronic Health Records Female Aged Humans Neural Networks, Computer Arrhythmias, Cardiac Deep Learning Male United States Middle Aged Bayes Theorem
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Machine learning based early mortality prediction in the emergency department.

International journal of medical informatics Sep 8, 2021
BACKGROUND: It is a great challenge for emergency physicians to early detect the patient's deterioration and prevent unexpected death through a large amount of clinical data, which requires sufficient experience and keen insight.
Emergency Service, Hospital Patient Discharge Patient Admission Female Child Machine Learning Electronic Health Records Humans
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Influential Usage of Big Data and Artificial Intelligence in Healthcare.

Computational and mathematical methods in medicine Sep 6, 2021
Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhancement in information and communications technology (ICT) has indisputably improved the quality of pe...
Deep Learning Delivery of Health Care Big Data Humans Telemedicine Computational Biology Electronic Health Records Artificial Intelligence Markov Chains
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Applying interpretable deep learning models to identify chronic cough patients using EHR data.

Computer methods and programs in biomedicine Sep 4, 2021
BACKGROUND AND OBJECTIVE: Chronic cough (CC) affects approximately 10% of adults. Many disease states are associated with chronic cough, such as asthma, upper airway cough syndrome, bronchitis, and gastroesophageal reflux disease. The lack of an ICD ...
Algorithms Deep Learning Prospective Studies Cough Humans Electronic Health Records Retrospective Studies Adult Machine Learning
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